机译:利用毛动气雾光学深度的受限混合效应袋模型估计PM2.5浓度高时的血流分辨率
Chinese Acad Sci Inst Geog Sci &
Nat Resources Res State Key Lab Resources &
Environm Informat Syst Beijing Peoples R China;
Chinese Acad Sci Inst Geog Sci &
Nat Resources Res State Key Lab Resources &
Environm Informat Syst Beijing Peoples R China;
Emory Univ Dept Environm Hlth Rollins Sch Publ Hlth Atlanta GA 30322 USA;
Chinese Acad Sci Inst Geog Sci &
Nat Resources Res State Key Lab Resources &
Environm Informat Syst Beijing Peoples R China;
Chinese Acad Sci Inst Geog Sci &
Nat Resources Res State Key Lab Resources &
Environm Informat Syst Beijing Peoples R China;
Chinese Acad Sci Inst Geog Sci &
Nat Resources Res State Key Lab Resources &
Environm Informat Syst Beijing Peoples R China;
Chinese Acad Sci Inst Remote Sensing &
Digital Earth Beijing Peoples R China;
Univ Calif Irvine Susan &
Henry Samueli Coll Hlth Sci Program Publ Hlth Irvine CA 92697 USA;
Fudan Univ Shanghai Key Lab Atmospher Particle Pollut &
Prev Shanghai Peoples R China;
PM2.5; MAIAC AOD; High spatiotemporal resolution; Temporal variation; AOD-PM2.5 associations; Spatial effects; Missingness; Machine learning;
机译:利用毛动气雾光学深度的受限混合效应袋模型估计PM2.5浓度高时的血流分辨率
机译:集成学习的约束混合效应模型用于预测高时空分辨率下的氮氧化物浓度
机译:通过使用地面气溶胶光学深度数据集来评估气溶胶类型改善表面PM2.5浓度的估计
机译:模型预测的PM2.5浓度与基于卫星的气溶胶光学深度测量的比较
机译:地面观测和神经网络技术在卫星气溶胶光学深度产品PM2.5估算中的应用。
机译:一种新的混合时空模型用于使用高分辨率气溶胶光学深度数据估算美国东北部每天的多年PM2.5浓度
机译:利用中国paRasOL气溶胶光学厚度数据比较四种地面pm2.5估算模型